3 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
LAHNet: Local Attentive Hashing Network for Point Cloud Registration
Wentao Qu, Xiaoshui Huang, Liang Xiao
Most existing learning-based point cloud descriptors for point cloud registration focus on perceiving local information of point clouds to generate distinctive features. However, a…
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
Wentao Qu, Guofeng Mei, Jing Wang +3
Denoising Diffusion Probabilistic Models (DDPMs) have shown success in robust 3D object detection tasks. Existing methods often rely on the score matching from 3D boxes or pre-trai…
PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration
Yue Wu, Yongzhe Yuan, Xiaolong Fan +3
We propose a new framework that formulates point cloud registration as a denoising diffusion process from noisy transformation to object transformation. During training stage, obje…
Multimodal Learning for Non-small Cell Lung Cancer Prognosis
Yujiao Wu, Yaxiong Wang, Xiaoshui Huang +3
This paper focuses on the task of survival time analysis for lung cancer. Although much progress has been made in this problem in recent years, the performance of existing methods…